%0 Conference Paper
%B Companion Proceedings of the The Web Conference 2018
%D 2018
%T Knowledge Extraction for the Web of Things (KE4WoT): WWW 2018 Challenge Summary
%A Amelie Gyrard
%A Manas Gaur
%A Swati Padhee
%A Amit Sheth
%A Mihaela Juganaru-Mathieu
%K Internet of Things (IoT)
%K knowledge extraction
%K Ontologies
%K Web of Things (WoT)
%X The Web of Things (WoT) is an extension of the Internet of Things (IoT) to ease the access to data generated by things/devices using the benefits of Web technologies. Data is exploited by WoT applications to monitor healthcare or even control home automation devices. The purpose of the Knowledge Extraction for the Web of Things (KE4WoT) challenge is to automatically extract the relevant knowledge from already designed smart WoT applications in various applicative domains. Those applications design and release Knowledge Bases (e.g., datasets and/or models) on the web. The purpose of this challenge is to automatically extract the redundant knowledge already designed within existing standardizations, WoT applications, and different communities. Most of the existing knowledge extraction techniques are frequently applied to text found within documents or social networks. The main novelty of this challenge is to apply web-based knowledge extraction techniques on models.
%B Companion Proceedings of the The Web Conference 2018
%I International World Wide Web Conferences Steering Committee
%C Republic and Canton of Geneva, Switzerland
%P 1935–1936
%8 04/2018
%@ 978-1-4503-5640-4
%G eng
%R 10.1145/3184558.3192305